By Granino A. Korn
Study the most recent concepts in programming subtle simulation structures. This state-of-the-art textual content provides the newest suggestions in complex simulation programming for interactive modeling and simulation of dynamic platforms, equivalent to aerospace autos, keep watch over structures, and organic platforms. the writer, a number one authority within the box, demonstrates software program which can deal with huge simulation experiences on regular own pcs.
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Extra info for Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation
Subscripted variables are necessarily defined by array declarations (Section 3-1) and default to 0. Programmed and command-mode reset and drunr statements reset the system variables t and DT and all differential-equation state variables to their initial values at the start of the current simulation run. But reset and drunr do not reset difference-equation state variables or sampled-data inputs to differential-equation systems. These must be explicitly reset in the experimentprotocol script, perhaps with a named procedure collecting all such reset operations.
These must be explicitly reset in the experimentprotocol script, perhaps with a named procedure collecting all such reset operations. EXAMPLES OF MIXED CONTINUOUS/SAMPLED-DATA SYSTEMS 2-6. The Guided Torpedo with Digital Control As a simple example, Figure 2-3 shows how the guided torpedo program of Section 1-16a can be modified to incorporate digital control. The controller operations error = (phi – psi) * swtch(dd – DD) gain = gain0 + 800 * t rudder = – rumax * sat(gain * error) become sampled-data assignments5 programmed following a SAMPLE m statement at the end of the DYNAMIC program segment.
6. M. M. Tiller, Introduction to Physical Modeling with Modelica, Kluwer Academic Publishers (now Springer), New York, 2004. 7. P. 1, Wiley, New York, 2004. 8. , Lund, Sweden, 2005. 9. G. A. Korn, Interactive Dynamic System Simulation with Microsoft Windows, Taylor and Francis, London, 1998. 10. F. Cellier and E. Kofman, Continuous-System Simulation, Springer, New York, 2006. 11. C. W. Gear, DIFSUB, Algorithm 407, Communications in ACM, 14, No. 3, 3/7, 1971. 12. G. K. , A review of recent developments in solving ODEs, Computing Surveys, 17, March 1985, pp.
Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation by Granino A. Korn